From mboxrd@z Thu Jan  1 00:00:00 1970
Content-Type: multipart/mixed; boundary="===============8431694598992599296=="
MIME-Version: 1.0
From: kernel test robot <lkp@intel.com>
To: kbuild-all@lists.01.org
Subject: Re: [RFC PATCH 05/11] net: Infrastructure for per queue aRFS
Date: Sun, 28 Jun 2020 16:55:51 +0800
Message-ID: <20200628085551.GW5535@shao2-debian>
In-Reply-To: <20200624171749.11927-6-tom@herbertland.com>
List-Id: <oe-kbuild-all.lists.linux.dev>

--===============8431694598992599296==
Content-Type: text/plain; charset="utf-8"
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable

Hi Tom,

[FYI, it's a private test report for your RFC patch.]
[auto build test WARNING on net/master]
[also build test WARNING on ipvs/master net-next/master linus/master v5.8-r=
c2 next-20200624]
[cannot apply to cgroup/for-next]
[If your patch is applied to the wrong git tree, kindly drop us a note.
And when submitting patch, we suggest to use  as documented in
https://git-scm.com/docs/git-format-patch]

url:    https://github.com/0day-ci/linux/commits/Tom-Herbert/ptq-Per-Thread=
-Queues/20200625-012135
base:   https://git.kernel.org/pub/scm/linux/kernel/git/davem/net.git 02758=
75530f692c725c6f993aced2eca2d6ac50c
config: s390-randconfig-s031-20200624 (attached as .config)
compiler: s390-linux-gcc (GCC) 9.3.0
reproduce:
        # apt-get install sparse
        # sparse version: v0.6.2-dirty
        # save the attached .config to linux build tree
        make W=3D1 C=3D1 ARCH=3Ds390 CF=3D'-fdiagnostic-prefix -D__CHECK_EN=
DIAN__'

If you fix the issue, kindly add following tag as appropriate
Reported-by: kernel test robot <lkp@intel.com>


sparse warnings: (new ones prefixed by >>)

   net/core/dev.c:3264:23: sparse: sparse: incorrect type in argument 4 (di=
fferent base types) @@     expected restricted __wsum [usertype] csum @@   =
  got unsigned int @@
   net/core/dev.c:3264:23: sparse:     expected restricted __wsum [usertype=
] csum
   net/core/dev.c:3264:23: sparse:     got unsigned int
   net/core/dev.c:3264:23: sparse: sparse: cast from restricted __wsum
   net/core/dev.c:3264:23: sparse: sparse: incorrect type in argument 4 (di=
fferent base types) @@     expected restricted __wsum [usertype] csum @@   =
  got unsigned int @@
   net/core/dev.c:3264:23: sparse:     expected restricted __wsum [usertype=
] csum
   net/core/dev.c:3264:23: sparse:     got unsigned int
   net/core/dev.c:3264:23: sparse: sparse: incorrect type in argument 1 (di=
fferent base types) @@     expected unsigned int [usertype] val @@     got =
restricted __wsum @@
   net/core/dev.c:3264:23: sparse:     expected unsigned int [usertype] val
   net/core/dev.c:3264:23: sparse:     got restricted __wsum
   net/core/dev.c:3264:23: sparse: sparse: incorrect type in argument 4 (di=
fferent base types) @@     expected restricted __wsum [usertype] csum @@   =
  got unsigned int @@
   net/core/dev.c:3264:23: sparse:     expected restricted __wsum [usertype=
] csum
   net/core/dev.c:3264:23: sparse:     got unsigned int
   net/core/dev.c:3264:23: sparse: sparse: cast from restricted __wsum
   net/core/dev.c:3264:23: sparse: sparse: incorrect type in argument 4 (di=
fferent base types) @@     expected restricted __wsum [usertype] csum @@   =
  got unsigned int @@
   net/core/dev.c:3264:23: sparse:     expected restricted __wsum [usertype=
] csum
   net/core/dev.c:3264:23: sparse:     got unsigned int
   net/core/dev.c:3264:23: sparse: sparse: cast from restricted __wsum
   net/core/dev.c:3264:23: sparse: sparse: incorrect type in argument 4 (di=
fferent base types) @@     expected restricted __wsum [usertype] csum @@   =
  got unsigned int @@
   net/core/dev.c:3264:23: sparse:     expected restricted __wsum [usertype=
] csum
   net/core/dev.c:3264:23: sparse:     got unsigned int
   net/core/dev.c:3264:23: sparse: sparse: cast from restricted __wsum
   net/core/dev.c:3264:23: sparse: sparse: incorrect type in argument 4 (di=
fferent base types) @@     expected restricted __wsum [usertype] csum @@   =
  got unsigned int @@
   net/core/dev.c:3264:23: sparse:     expected restricted __wsum [usertype=
] csum
   net/core/dev.c:3264:23: sparse:     got unsigned int
   net/core/dev.c:3264:23: sparse: sparse: cast from restricted __wsum
>> net/core/dev.c:4451:27: sparse: sparse: cast to non-scalar
>> net/core/dev.c:4451:27: sparse: sparse: cast from non-scalar
   net/core/dev.c:5614:1: sparse: sparse: symbol '__pcpu_scope_flush_works'=
 was not declared. Should it be static?
   net/core/dev.c:3747:26: sparse: sparse: context imbalance in '__dev_queu=
e_xmit' - different lock contexts for basic block
   net/core/dev.c:4922:44: sparse: sparse: context imbalance in 'net_tx_act=
ion' - unexpected unlock

# https://github.com/0day-ci/linux/commit/8cf630e2a48d7b6e18be2f46f90cebf8e=
c5d506c
git remote add linux-review https://github.com/0day-ci/linux
git remote update linux-review
git checkout 8cf630e2a48d7b6e18be2f46f90cebf8ec5d506c
vim +4451 net/core/dev.c

c445477d74ab37 Ben Hutchings 2011-01-19  4426  =

c445477d74ab37 Ben Hutchings 2011-01-19  4427  /**
c445477d74ab37 Ben Hutchings 2011-01-19  4428   * rps_may_expire_flow - che=
ck whether an RFS hardware filter may be removed
c445477d74ab37 Ben Hutchings 2011-01-19  4429   * @dev: Device on which the=
 filter was set
c445477d74ab37 Ben Hutchings 2011-01-19  4430   * @rxq_index: RX queue index
c445477d74ab37 Ben Hutchings 2011-01-19  4431   * @flow_id: Flow ID passed =
to ndo_rx_flow_steer()
c445477d74ab37 Ben Hutchings 2011-01-19  4432   * @filter_id: Filter ID ret=
urned by ndo_rx_flow_steer()
c445477d74ab37 Ben Hutchings 2011-01-19  4433   *
c445477d74ab37 Ben Hutchings 2011-01-19  4434   * Drivers that implement nd=
o_rx_flow_steer() should periodically call
c445477d74ab37 Ben Hutchings 2011-01-19  4435   * this function for each in=
stalled filter and remove the filters for
c445477d74ab37 Ben Hutchings 2011-01-19  4436   * which it returns %true.
c445477d74ab37 Ben Hutchings 2011-01-19  4437   */
c445477d74ab37 Ben Hutchings 2011-01-19  4438  bool rps_may_expire_flow(str=
uct net_device *dev, u16 rxq_index,
c445477d74ab37 Ben Hutchings 2011-01-19  4439  			 u32 flow_id, u16 filter_=
id)
c445477d74ab37 Ben Hutchings 2011-01-19  4440  {
c445477d74ab37 Ben Hutchings 2011-01-19  4441  	struct netdev_rx_queue *rxq=
ueue =3D dev->_rx + rxq_index;
c445477d74ab37 Ben Hutchings 2011-01-19  4442  	struct rps_dev_flow_table *=
flow_table;
8cf630e2a48d7b Tom Herbert   2020-06-24  4443  	struct rps_cpu_qid cpu_qid;
c445477d74ab37 Ben Hutchings 2011-01-19  4444  	struct rps_dev_flow *rflow;
c445477d74ab37 Ben Hutchings 2011-01-19  4445  	bool expire =3D true;
c445477d74ab37 Ben Hutchings 2011-01-19  4446  =

c445477d74ab37 Ben Hutchings 2011-01-19  4447  	rcu_read_lock();
c445477d74ab37 Ben Hutchings 2011-01-19  4448  	flow_table =3D rcu_derefere=
nce(rxqueue->rps_flow_table);
c445477d74ab37 Ben Hutchings 2011-01-19  4449  	if (flow_table && flow_id <=
=3D flow_table->mask) {
c445477d74ab37 Ben Hutchings 2011-01-19  4450  		rflow =3D &flow_table->flo=
ws[flow_id];
8cf630e2a48d7b Tom Herbert   2020-06-24 @4451  		cpu_qid =3D READ_ONCE(rflo=
w->cpu_qid);
8cf630e2a48d7b Tom Herbert   2020-06-24  4452  		if (rflow->filter =3D=3D f=
ilter_id && !cpu_qid.use_qid &&
8cf630e2a48d7b Tom Herbert   2020-06-24  4453  		    cpu_qid.cpu < nr_cpu_i=
ds &&
8cf630e2a48d7b Tom Herbert   2020-06-24  4454  		    ((int)(per_cpu(softnet=
_data, cpu_qid.cpu).input_queue_head -
c445477d74ab37 Ben Hutchings 2011-01-19  4455  			   rflow->last_qtail) <
c445477d74ab37 Ben Hutchings 2011-01-19  4456  		     (int)(10 * flow_table=
->mask)))
c445477d74ab37 Ben Hutchings 2011-01-19  4457  			expire =3D false;
c445477d74ab37 Ben Hutchings 2011-01-19  4458  	}
c445477d74ab37 Ben Hutchings 2011-01-19  4459  	rcu_read_unlock();
c445477d74ab37 Ben Hutchings 2011-01-19  4460  	return expire;
c445477d74ab37 Ben Hutchings 2011-01-19  4461  }
c445477d74ab37 Ben Hutchings 2011-01-19  4462  EXPORT_SYMBOL(rps_may_expire=
_flow);
c445477d74ab37 Ben Hutchings 2011-01-19  4463  =


---
0-DAY CI Kernel Test Service, Intel Corporation
https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org

_______________________________________________
kbuild mailing list -- kbuild(a)lists.01.org
To unsubscribe send an email to kbuild-leave(a)lists.01.org

--===============8431694598992599296==
Content-Type: application/gzip
MIME-Version: 1.0
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="config.gz"
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--===============8431694598992599296==--